Self-Stacking Autocatalytic Molecular Circuit with Minimal Catalytic DNA Assembly,Journal of the American Chemical Society

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Self-Stacking Autocatalytic Molecular Circuit with Minimal Catalytic DNA Assembly
Journal of the American Chemical Society ( IF 14.4 ) Pub Date : 2023-01-26 , DOI: 10.1021/jacs.2c11504
Ruomeng Li ₁ , Yuxuan Zhu ₁ , Xue Gong ₁ , Yanping Zhang ₁ , Chen Hong ₁ , Yeqing Wan ₁ , Xiaoqing Liu _{1,

2} , Fuan Wang _{1,

2}

Affiliation

Isothermal autocatalytic DNA circuits have been proven to be versatile and powerful biocomputing platforms by virtue of their self-sustainable and self-accelerating reaction profiles, yet they are currently constrained by their complicated designs, severe signal leakages, and unclear reaction mechanisms. Herein, we developed a simpler-yet-efficient autocatalytic assembly circuit (AAC) for highly robust bioimaging in live cells and mice. The scalable and sustainable AAC system was composed of a mere catalytic DNA assembly reaction with minimal strand complexity and, upon specific stimulation, could reproduce numerous new triggers to expedite the whole reaction. Through in-depth theoretical simulations and systematic experimental demonstrations, the catalytic efficiency of these reproduced triggers was found to play a vital role in the autocatalytic profile and thus could be facilely improved to achieve more efficient and characteristic autocatalytic signal amplification. Due to its exponentially high signal amplification and minimal reaction components, our self-stacking AAC facilitated the efficient detection of trace biomolecules with low signal leakage, thus providing great clinical diagnosis and therapeutic assessment potential.

中文翻译：

具有最小催化 DNA 组装的自堆叠自催化分子电路

等温自催化 DNA 电路凭借其自持和自加速反应特性已被证明是多功能且功能强大的生物计算平台，但目前它们受到复杂设计、严重信号泄漏和不明确反应机制的限制。在此，我们开发了一种更简单但更高效的自催化组装电路 (AAC)，用于在活细胞和小鼠中进行高度稳健的生物成像。可扩展和可持续的 AAC 系统仅由具有最小链复杂性的催化 DNA 组装反应组成，并且在特定刺激下，可以复制许多新的触发器以加速整个反应。通过深入的理论模拟和系统的实验论证，发现这些复制触发器的催化效率在自催化曲线中起着至关重要的作用，因此可以轻松改进以实现更高效和特征性的自催化信号放大。由于其呈指数级的高信号放大和最少的反应成分，我们的自堆叠 AAC 促进了低信号泄漏的痕量生物分子的有效检测，从而提供了巨大的临床诊断和治疗评估潜力。

更新日期：2023-01-26

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